What are 5 cons to slope intercept?

Answer 1

Five cons of using the slope-intercept form (y = mx + b) include:

1. Limited to linear relationships, making it unsuitable for non-linear data.
2. It can be less intuitive for understanding real-world contexts where intercepts and slopes don’t provide clear insights.
3. It may lead to misinterpretation if the slope is steep, causing overestimation or underestimation of trends.
4. Difficulties arise in determining the slope and intercept when data is sparse or noisy, affecting accuracy.